The evolution and testing of a model-based object recognition system
- 4 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 268-282
- https://doi.org/10.1109/iccv.1990.139530
Abstract
A benchmark evaluation test of a model-based recognition system is discussed. The system was tested on a series of aerial reconnaissance images to evaluate recognition performance on the task of airfield monitoring. The effectiveness of the model pose constraint for recognition is discussed as well as an approach for selection of model features. The use of distance transforms for model hypothesis confirmation is also discussed.Keywords
This publication has 8 references indexed in Scilit:
- Distance transformations in digital imagesPublished by Elsevier ,2006
- Three-dimensional model matching from an unconstrained viewpointPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- On the sensitivity of the Hough transform for object recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990
- Object recognition using oriented model pointsComputer Vision, Graphics, and Image Processing, 1986
- The Curvature Primal SketchPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986
- Perceptual Organization and Visual RecognitionPublished by Springer Nature ,1985
- Generalizing the Hough transform to detect arbitrary shapesPattern Recognition, 1981
- On Singularities of Mappings of Euclidean Spaces. I. Mappings of the Plane into the PlaneAnnals of Mathematics, 1955